/*
 * Seldon -- open source prediction engine
 * =======================================
 * Copyright 2011-2015 Seldon Technologies Ltd and Rummble Ltd (http://www.seldon.io/)
 *
 **********************************************************************************************
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at       
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 ********************************************************************************************** 
*/
package io.seldon.client.test;

import io.seldon.client.algorithm.AlgorithmOptions;
import io.seldon.client.algorithm.CFAlgorithm;

import org.junit.Assert;
import org.junit.Test;


/**
 * Created by: marc on 25/11/2011 at 10:53
 */
public class AlgorithmOptionsTest extends BaseClientTest {

    @Test
    public void simpleTest() {
        AlgorithmOptions algorithmOptions = new AlgorithmOptions()
                .withSorter(CFAlgorithm.CF_SORTER.RELEVANCE)
                .withSorter(CFAlgorithm.CF_SORTER.DEMOGRAPHICS)
                .withItemComparator(CFAlgorithm.CF_ITEM_COMPARATOR.MAHOUT_ITEM)
                .withPredictor(CFAlgorithm.CF_PREDICTOR.WEIGHTED_MEAN)
                .withPredictor(CFAlgorithm.CF_PREDICTOR.USER_AVG)
                .withRecommender(CFAlgorithm.CF_RECOMMENDER.TRUST_ITEMBASED)
                .withSorterStrategy(CFAlgorithm.CF_STRATEGY.FIRST_SUCCESSFUL)
                .withItemComparatorStrategy(CFAlgorithm.CF_STRATEGY.WEIGHTED);

        Assert.assertEquals(algorithmOptions.toString(),
                "sorters:RELEVANCE|DEMOGRAPHICS,item_comparators:MAHOUT_ITEM,recommenders:TRUST_ITEMBASED,predictors:WEIGHTED_MEAN|USER_AVG,sorter_strategy:FIRST_SUCCESSFUL,item_comparator_strategy:WEIGHTED");
        Assert.assertEquals(new AlgorithmOptions().toString(), "");
    }
    
    
    @Test
    public void simpleTestWithClusterWeights() {
        AlgorithmOptions algorithmOptions = new AlgorithmOptions()
                .withSorter(CFAlgorithm.CF_SORTER.RELEVANCE)
                .withSorter(CFAlgorithm.CF_SORTER.DEMOGRAPHICS)
                .withItemComparator(CFAlgorithm.CF_ITEM_COMPARATOR.MAHOUT_ITEM)
                .withPredictor(CFAlgorithm.CF_PREDICTOR.WEIGHTED_MEAN)
                .withPredictor(CFAlgorithm.CF_PREDICTOR.USER_AVG)
                .withRecommender(CFAlgorithm.CF_RECOMMENDER.TRUST_ITEMBASED)
                .withSorterStrategy(CFAlgorithm.CF_STRATEGY.FIRST_SUCCESSFUL)
                .withItemComparatorStrategy(CFAlgorithm.CF_STRATEGY.WEIGHTED)
                .withLongTermClusterWeight(2.5)
                .withShortTermClusterWeight(1.5);

        Assert.assertEquals(algorithmOptions.toString(),
                "sorters:RELEVANCE|DEMOGRAPHICS,item_comparators:MAHOUT_ITEM,recommenders:TRUST_ITEMBASED,predictors:WEIGHTED_MEAN|USER_AVG,sorter_strategy:FIRST_SUCCESSFUL,item_comparator_strategy:WEIGHTED,long_term_cluster_weight:2.5,short_term_cluster_weight:1.5");
        Assert.assertEquals(new AlgorithmOptions().toString(), "");
    }
    
    

}